Triple
T1922444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theme and Variations |
E40152
|
entity |
| Predicate | setDesignStyle |
P20701
|
FINISHED |
| Object | evocation of Imperial St. Petersburg |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: evocation of Imperial St. Petersburg | Statement: [Theme and Variations, setDesignStyle, evocation of Imperial St. Petersburg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setDesignStyle Context triple: [Theme and Variations, setDesignStyle, evocation of Imperial St. Petersburg]
-
A.
structureStyle
Indicates the architectural or design style characterizing how a structure is built or formed.
-
B.
stylingFeature
chosen
Indicates a visual or design-related characteristic applied to an entity, such as formatting, layout, or aesthetic treatment.
-
C.
editingStyle
Indicates the characteristic manner or approach used when revising, arranging, or refining content.
-
D.
featuresStyle
Indicates that one entity exhibits, incorporates, or is characterized by a particular style associated with another entity.
-
E.
architecturalStyle
Indicates the architectural design tradition, movement, or style that characterizes the form and appearance of a structure or built work.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb233011881908736523d36f01b0c |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafed2ab481908920334e77b1021b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.